Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Statewright Transition Gate check transition from pending to in_progress for task-42"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Make every agent transition explicit before work continues.
Statewright Transition Gate is a paid hosted remote MCP for Statewright. It exposes Streamable HTTP tool calls, bearer-token access, public server-card metadata, usage logs, and receipt-oriented JSON for AI agent workflows.
MCP endpoint: https://statewrightgate.clauxel.com/mcp
Server card: https://statewrightgate.clauxel.com/server-card.json
Registry name: com.clauxel.statewrightgate/statewrightgate-mcp
Related MCP server: mmc-mcp
This is a paid hosted remote MCP. Production calls require a bearer token issued from the product website.
Authorization: Bearer <token>Unauthenticated browser visits to /mcp return a clear JSON error instead of internal details.
check_state_transition
explain_blocked_action
suggest_next_states
export_transition_receipt
Open the website and choose a plan.
Create or request an API token.
Add the endpoint to an MCP client that supports Streamable HTTP remote servers.
Send JSON-RPC requests with the bearer token.
Product page: https://statewrightgate.clauxel.com/?utm_source=github&utm_medium=directory&utm_campaign=sbl202605r27
Server card: https://statewrightgate.clauxel.com/server-card.json
MCP endpoint: https://statewrightgate.clauxel.com/mcp
This repository is a public documentation and directory-submission reference for the hosted service. It does not contain the private production source code.
This server cannot be deployed
Hosted MCP for creating, checking, deploying, and hosting static sites for AI agents.
MCP server for building and testing AI agents with multi-model experimentation and insights.
Paid remote MCP for persistent AI agent memory, analytics, checkout, and search-readiness.
Persistent, inspectable memory for AI agents with lineage, correction, and a hosted MCP endpoint.
